OBJECTIVE: to explore the perceptions of stakeholders on postnatal care and to describe the rate of postnatal home visits in two rural counties in Anhui Province, China. DESIGN: this was a mixed methods study which uses mainly qualitative methods including focus group discussions, in- depth interviews and key informant interviews. A household survey of postpartum women was used to calculate the rates of postnatal home visits. SETTING: two rural counties in Anhui Province, China. PARTICIPANTS: qualitative study participants: officials responsible for maternal health care at county level, health providers at township and village level and maternal health-care users. Household survey participants: 2326 women who gave birth in the two counties from January 2005 to December 2006. FINDINGS: the survey of postpartum women revealed that only 4.2% and 4.5% of women received one or more postnatal visits at home in County A and County B. Qualitative interviews revealed a range of perceived reasons for this low rate of provision and utilisation of postnatal care, including: inadequate funding for maternal health care; limited human resources; lack of transport in township hospitals; and limited value placed on postnatal care by women and providers. In addition, where services were provided, a number of factors were likely to restrict health providers from delivering high-quality postnatal health service, such as: weak skills and knowledge of staff; inadequate in-service training; lack of equipment in township hospitals; and poor supervision and monitoring. KEY CONCLUSIONS: the rate of postnatal visits was extremely low in two counties in rural China. Understaffing and inadequate funding are the main factors that affect provision of postnatal health care. IMPLICATIONS FOR PRACTICE: more emphasis should be attached to political support and funding for postnatal care. Research into feasible ways to provide quality postnatal care needs to be conducted.
OBJECTIVE: to explore the perceptions of stakeholders on postnatal care and to describe the rate of postnatal home visits in two rural counties in Anhui Province, China. DESIGN: this was a mixed methods study which uses mainly qualitative methods including focus group discussions, in- depth interviews and key informant interviews. A household survey of postpartum women was used to calculate the rates of postnatal home visits. SETTING: two rural counties in Anhui Province, China. PARTICIPANTS: qualitative study participants: officials responsible for maternal health care at county level, health providers at township and village level and maternal health-care users. Household survey participants: 2326 women who gave birth in the two counties from January 2005 to December 2006. FINDINGS: the survey of postpartum women revealed that only 4.2% and 4.5% of women received one or more postnatal visits at home in County A and County B. Qualitative interviews revealed a range of perceived reasons for this low rate of provision and utilisation of postnatal care, including: inadequate funding for maternal health care; limited human resources; lack of transport in township hospitals; and limited value placed on postnatal care by women and providers. In addition, where services were provided, a number of factors were likely to restrict health providers from delivering high-quality postnatal health service, such as: weak skills and knowledge of staff; inadequate in-service training; lack of equipment in township hospitals; and poor supervision and monitoring. KEY CONCLUSIONS: the rate of postnatal visits was extremely low in two counties in rural China. Understaffing and inadequate funding are the main factors that affect provision of postnatal health care. IMPLICATIONS FOR PRACTICE: more emphasis should be attached to political support and funding for postnatal care. Research into feasible ways to provide quality postnatal care needs to be conducted.
Authors: Li Chen; Wu Qiong; Michelle Helena van Velthoven; Zhang Yanfeng; Zhang Shuyi; Li Ye; Wang Wei; Du Xiaozhen; Zhang Ting Journal: BMC Pregnancy Childbirth Date: 2014-01-18 Impact factor: 3.007